consistency-check

Validate V-Model artifact graph links and content coherence with Python scripts.

Updated Jul 8, 2026
One-click install
npx skills add https://github.com/salemaziel/digital-innovation-agents --skill consistency-check-salemaziel
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: consistency-check
Source: https://github.com/salemaziel/digital-innovation-agents/tree/main/skills/consistency-check
Command: npx skills add https://github.com/salemaziel/digital-innovation-agents --skill consistency-check-salemaziel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill verifies the integrity of the V-Model artifact graph, ensuring that BA sections, Epics, Features, Success Criteria, ADRs, arc42 sections, PLANs, Backlog items, Wayfinder rows, and code references are complete and consistent.

Core Features & Use Cases

  • Syntactic Check: Quickly verifies links, IDs, Refs, and other syntactic elements of the artifact graph.
  • Semantic Check: Checks content coherence and plausibility of Success Criteria in the code.
  • Interactive Fix-Loop: Guided fix workflow with options for skipping, custom fixes, and automated fixes.
  • Use Case: At the end of a V-Model phase, use this Skill to ensure all artifacts are correctly linked and that the content is coherent before passing to the next phase.

Quick Start

Run the 'consistency-check' skill to verify the integrity of the V-Model artifact graph in your project.

Frequently Asked Questions about consistency-check

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check V-Model artifact graph integrity in my software project?

You can validate artifact graph integrity by running an automated consistency check that parses your project structure to verify links, IDs, and references across Epics, Features, and ADRs.

What is the difference between syntactic and semantic checks for V-Model artifacts?

Syntactic checks verify the structural formatting of links and IDs in the artifact graph, while semantic checks evaluate content coherence and the plausibility of Success Criteria against your actual code.

When should I perform a V-Model artifact consistency check?

Perform a V-Model consistency check at the end of each development phase to ensure all project artifacts are correctly linked and content is coherent before transitioning to the next phase.

Do I need Python to validate my software project's artifact graph?

Yes, you need Python installed, as the validation process relies on Python scripts to parse the project structure and execute the syntactic and semantic checks on the artifact graph.

How do I fix broken artifact links found during a V-Model consistency check?

You can fix broken artifact links using an interactive fix-loop that guides you through resolving issues with options for skipping, applying custom fixes, or executing automated fixes.

Can I verify Success Criteria plausibility against my codebase automatically?

Yes, the semantic validation process automatically checks the content coherence and plausibility of your Success Criteria directly against your code references during the graph analysis.